Real-Time Operating Systems are meant for real-time applications. But with conventional shared-state concurrency and blocking, can you honestly know the worst-case execution time of an RTOS thread?
Devicetrees can be daunting for traditional embedded software engineers that are new to Zephyr. In this blog post, I address these fears and show how navigating Devicetrees can be much easier if you understand that they represent the layered structure of the underlying hardware.
Embedded software teams have long accepted toolchain setup as “part of the job,” but it’s a hidden productivity killer. Manual installs waste days, slow onboarding, and derail CI pipelines with “works on my machine” issues. While enterprise software solved this years ago with containerization, many embedded teams are still stuck replicating fragile environments.Containers offer a proven fix: a portable, reproducible build environment that works identically on laptops and CI servers. No brittle scripts, mismatched versions, or wasted time—just code that builds. IAR has gone further by delivering pre-built, performance-tuned Docker images for Arm, RISC-V, and Renesas architectures, ready for GitHub Actions and CI/CD pipelines.For regulated industries, containers simplify audits and compliance by enabling validation once and reuse everywhere. The result: faster onboarding, consistent builds, and stronger safety assurance. Containers aren’t a luxury—they’re the cheat code embedded teams need to modernize DevOps and compete effectively.
Ensuring deterministic behavior in real-time embedded systems is paramount for their reliability and performance. The ability to predict precisely how a system will respond to various inputs at any given time is crucial in critical applications such as medical devices, aerospace systems, and automotive safety mechanisms. Achieving deterministic behavior involves meticulous design, stringent testing, and adherence to strict timing constraints.
Jack Ganssle shows us what we can learn by studying previous failures - and why this is essential for anyone working in embedded systems.
This fifth and final post of the Getting Started with Microchip PIC 8 Bit Development series looks at interrupts on 8-bit PIC microcontrollers. After a review of basic interrupt functionality, an actual implementation is explored with the development of a four bit counter driven via Timer0 interrupts whose value is displayed through four LEDs on Microchip's Curiosity HPC Development Board.
A look back at a deep dive into the Mars Perseverance flight software from one of the technical leads at JPL.
Discussion of a "hidden gem" from the Embedded Online Conference archives!
Explore how to leverage AI in developing embedded systems with three practical tips, learn why documenting your workflows, supercharging testing and debugging, and adopting AI-assisted code generation can save time, reduce errors, and boost performance in your projects, and discover actionable insights to streamline development in resource-constrained environments, this blog explains how to prepare for AI integration while keeping the expertise of experienced engineers intact, offering real-world examples that show how even incremental AI adoption can revolutionize your development process, whether you’re new to AI or seeking to enhance existing practices, these strategies provide a clear roadmap to build smarter, more efficient embedded systems using AI.
In TCL FPGA wizards trust. The best way to learn TCL is exposure therapy which we will be doing here using two examples: One for creation of a project with synthesis and implementation steps and another for simulation.
Although the ++ and -- operators are well known, there are facets of their operation and implementation that are less familiar to many developers.
Well... maybe that's a stretch. I don't think I can recommend anything to help you win friends. Not my forte.
But I am going to try to convince you why you should know about Chebyshev approximation, which is a technique for figuring out how you can come as close as possible to computing the result of a mathematical function, with a minimal amount of design effort and CPU power. Let's explore two use cases:
Explore how to leverage AI in developing embedded systems with three practical tips, learn why documenting your workflows, supercharging testing and debugging, and adopting AI-assisted code generation can save time, reduce errors, and boost performance in your projects, and discover actionable insights to streamline development in resource-constrained environments, this blog explains how to prepare for AI integration while keeping the expertise of experienced engineers intact, offering real-world examples that show how even incremental AI adoption can revolutionize your development process, whether you’re new to AI or seeking to enhance existing practices, these strategies provide a clear roadmap to build smarter, more efficient embedded systems using AI.
What skills should every embedded systems engineer have? What should you study next to improve yourself as an embedded systems engineer? In this article I'll share with you a few lists from well-respected sources that seek to answer these questions, with the hope of helping provide you a path to mastery. Whether you've only just finished your first Arduino project or you've been building embedded systems for decades, I believe there's something in here for everyone to help improve themselves as embedded systems engineers.
An introduction to state machines and their implementation. Working from an intuitive definition of the state machine concept, we will start with a straightforward implementation then we evolve it into a more robust and engineered solution.
Happy Thanksgiving! Maybe the memory of eating too much turkey is fresh in your mind. If so, this would be a good time to talk aboutoverflow.
In the world of floating-point arithmetic, overflow is possible but not particularly common. You can get it when numbers become too large;IEEE double-precision floating-point numbers support a range of just under 21024, and if you go beyond that you have problems:
for k in [10, 100, 1000, 1020, 1023, 1023.9, 1023.9999, 1024]: try: ...When you're writing firmware, there always comes a time when you need to check the resources consumed by your efforts - perhaps because you're running out of RAM or Flash or you want to optimize something. The map file generated by your linker is a useful tool to aid in the resource analysis. I wanted to filter and sort the data generated in an interactive way so I wrote a C# WinForms application that reads the data from the map and presents it in a list view (using the awesome
In part 1 of this series we focused on the hardware design, including some of the VHDL definitions of the I/O characteristics of the CPLD part. In part 2, we will describe the VHDL logic of the CPLD for this design.
With any design, the first step to gather the requirements for the job at hand. From part 1 of this article, I have copied two sections that address some of the requirements for the CPLD design.
The data acquisition engine has the...
When you're writing firmware, there always comes a time when you need to check the resources consumed by your efforts - perhaps because you're running out of RAM or Flash or you want to optimize something. The map file generated by your linker is a useful tool to aid in the resource analysis. I wanted to filter and sort the data generated in an interactive way so I wrote a C# WinForms application that reads the data from the map and presents it in a list view (using the awesome
Well... maybe that's a stretch. I don't think I can recommend anything to help you win friends. Not my forte.
But I am going to try to convince you why you should know about Chebyshev approximation, which is a technique for figuring out how you can come as close as possible to computing the result of a mathematical function, with a minimal amount of design effort and CPU power. Let's explore two use cases:
Happy Thanksgiving! Maybe the memory of eating too much turkey is fresh in your mind. If so, this would be a good time to talk aboutoverflow.
In the world of floating-point arithmetic, overflow is possible but not particularly common. You can get it when numbers become too large;IEEE double-precision floating-point numbers support a range of just under 21024, and if you go beyond that you have problems:
for k in [10, 100, 1000, 1020, 1023, 1023.9, 1023.9999, 1024]: try: ...I’ve been wasting far too much of my free time lately on this stupid addicting game called theKittens Game. It starts so innocently. You are a kitten in a catnip forest. Gather catnip.
And you click on Gather catnip and off you go. Soon you’re hunting unicorns and building Huts and studying Mathematics and Theology and so on. AND IT’S JUST A TEXT GAME! HTML and Javascript, that’s it, no pictures. It’s an example of an
I work as an engineer in a synchrotron facility. A few weeks ago, I helped the people in charge of the power supply developments to integrate a realtime control algorithm on a prototype platform: a BeagleBone Black (BBB) running Linux. I had already worked with this board in the past, and I found it very interesting given its excellent resources versus price ratio (around 40 euros). This time, I was impressed by its realtime capabilities. I thought it would be a good idea to...
A coroutine is a function that you can jump back into after returning from it - and it remembers where it was in the code, and all the variables. This is very useful at times.
One use is generating a sequence of values. Here's how you can generate all the x,y pairs in a 2D range in Python:
def iterate(max_x, max_y): for x in range(max_x): for y in range(max_y): yield x,yfor x,y in iterate(2,2): print x,yThis prints:
0 00 11 01 1The yield keyword is like...
There are literally hundreds, if not thousands, of subtle concepts that contribute to high quality software design. Many of them are well-known, and can be found in books or the Internet. I’m going to highlight a few of the ones I think are important and often overlooked.
But first let’s start with a short diversion. I’m going to make a bold statement: unless you’re a novice, there’s at least one thing in computer programming about which you’ve picked up...
In part 1 of this series we focused on the hardware design, including some of the VHDL definitions of the I/O characteristics of the CPLD part. In part 2, we will describe the VHDL logic of the CPLD for this design.
With any design, the first step to gather the requirements for the job at hand. From part 1 of this article, I have copied two sections that address some of the requirements for the CPLD design.
The data acquisition engine has the...
Some weeks ago, I published an article on how we used the PRU to implement a power supply control loop having hard realtime constraints:
//www.embeddedrelated.com/showarticle/586.php
Writing this kind of logic in assembly language is not easy. First the assembly language itself may be difficult to learn depending on your background. Then, fixed and floating point arithmetics require lot of code. While macros help to handle the complexity, they still are error prone as you...
